7171 Machine Learning Jobs - Page 13

Data Scientist – 3 – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Websitehttps://www.kotak811.com/

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

This is a Public document. for a Credit Card Transaction Monitoring Manager Reports toCREDIT CARD POLICY HEAD LocationMUMBAI Job Summary: We are seeking an experienced Credit Card Transaction Monitoring individual (M5-AVP) to join our Credit Risk Management team. The successful candidate will be responsible for monitoring credit card transactions data, identifying potential fraud or high risk transactions with higher bad rates, and implementing rules to prevent such transactions and reduce future financial losses coming from them. This role requires a blend of analytical skills, attention to detail, and knowledge of fraud detection technologies and methodologies. The ideal candidate will have experience in data analysis, risk analytics, and fraud prevention. They should be proficient in SAS, SQL, and Python for data querying and analysis, and have a strong understanding of fraud risk management in the financial services industry Key Responsibilities: Monitoring TransactionsResponsible for overseeing credit card transactions to detect and prevent fraudulent activities, high risk transactions on various MCC’s such as rental, wallets, fuels etc. this includes analysing transaction patterns and identifying any suspicious behaviour. Rule CreationPart of the job would involve creating and implementing rules within the FALCON system to help identify and stop such transactions. Test and refine rules to ensure accuracy and effectiveness. This requires a deep understanding of fraud trends and the ability to translate this knowledge into effective fraud prevention strategies. Identifying customers who are making non retail transactions and using credit card funds for other than specified retail purposes and building rules to stop or reduce transactions on them by blocking those MID’s, initiating blocking of credit card accounts and credit limit reduction. Using FICO® Falcon® Fraud ManagerYou would likely be using FICO’s Falcon Fraud Manager, which is a leading solution for real-time transaction protection across various channels. CollaborationThe role may require collaboration with business and financial users to define, test, and deploy these rules based on the organization’s requirements and strategies Creating and maintaining reports for tracking fraud trends and the performance of fraud prevention strategies. Querying operational databases and data warehouses using SQL and other tools to extract data for analysis. Staying up-to-date on current fraud best practices and emerging threats. This is a Public document. : 5+ years of experience in credit card transaction monitoring or related field 2+ years of experience in a mid-leadership role. Strong knowledge of Falcon or similar fraud detection systems Excellent analytical and problem-solving skills Effective communication and leadership skills Ability to work in a fast-paced environment Experience with machine learning or data science Certification in fraud prevention or related field will be an added advantage

Do you want to build your software engineering skills whilst creating really impactful applicationsAre you interested in being part of an externally recognized engineering community with personal development at its coreWould you like to join a team that gives back to the community and engages with a diverse group of people We re looking for software engineers to: Design and maintain data pipelines using Starburst and related technologies. Optimize query performance and resolve data processing bottlenecks. Manage databases to ensure high availability reliability and security. Integrate Starburst with various data sources including cloud services and APIs. Monitor data pipelines and troubleshoot issues proactively. Collaborate with data scientists analysts and stakeholders on data requirements. Maintain comprehensive and up-to-date documentation for data processes. Stay current with data engineering advancements and propose innovative solutions. Implement best practices for data quality assurance and testing. Demonstrate experience with Python and data access (Numpy, Scipy, panda etc.), machine learning (Tensorflow etc.), and AI libraries (Chat GTP etc.) Have experience working with distributed systems, clustering, and replication technologies. Through the engineering guilds you ll become engaged in sharing and discussing knowledge with your peers and with staff networks you ll get involved in a wide range of volunteering and cultural topics. Once you ve met your team and joined our certified engineers development program, you ll also be able to become engaged in sharing and discussing knowledge with your peers through our engineering guilds and take part in a wide range of volunteering and cultural events and topics through our internal networks. software engineer/developer focused on cloud-based data virtualization and data delivery technologies minimum 2 Years experience working with Starburst develop, optimize, and maintain Starburst Enterprise queries for data processing and analytics. integrate Starburst with various data sources (e.g., cloud storage, relational databases, data lakes). solid understanding of Spark, Trino(Presto) or related technologies. able to code in Python within distributed computing systems such as databricks is added advantage(knowledge of PySpark) capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (i.e. AGILE SDLC) 3+ years of hands-on experience in developing large scale applications using data virtualization and/or data streaming technologies. UBS is the world s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Product Owner Change and Digital Enablement Regulatory Compliance Principal responsibilities The individual will be responsible for reporting RC AI & Analytics scorecard and key performance indicators in a timely and accurate manner. Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives. Help the business to manage regulatory risk in a more effective, efficient, and commercial way through the adoption of data science (AI/ML and advanced analytics) Support communication and engagement with stakeholders and partners to increase understanding and adoption of data science products and services also research opportunities. Collaborate with other analytics teams across the banks to share insight and best practice. Foster a collaborative, open and agile delivery culture. Build positive momentum for change across the organization with the active support and buy-in of all stakeholders. The ability to communicate often complex analytical solutions to the wider department, ensuring a strong transfer of key findings & intelligence. Requirements University degree in technology, data analytics or related discipline or relevant work experience in computer or Data Science Understanding of Regulatory Compliance, risks and direct experience of deployment of controls and analytics to manage those risks. Experience in Financial Services (experience within a tier one bank) or related industry, Knowledge of the HSBC Group structure, its business and personnel, and HSBC s corporate culture Experience of agile development and active contribution to strategy and innovation. Solid understanding of applied mathematics, statistics, data science principles and advanced computing (machine learning, modelling, NLP and Generative AI) Experience working within the Hadoop ecosystem in addition to strong technical skills in analytical languages such as Python and SQL. Specific knowledge of GCP, AWS, Azure, Spark and/or graph theory an advantage. Experience of visualization tools and techniques including Qlik and Tableau Solid understanding of data & architecture concepts including cloud, ETL, Ontology, Data Modelling. Experience of using JIRA, GIT, Confluence, Teams, Slack, Advanced Excel You ll achieve more at HSBC

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role, you will: Provide three tier (L1, L2, L3) support to all applications and provide assistance to all end users. Proactively identify any issues in production via automated monitoring, history of production issues and trends. Maintain schedule jobs and perform troubleshoot on processes. Analyze all vendor applications and provide operational support. Document all production applications and resolve all application issues and answer all requests. Monitor all performance metrics for various production systems and identify root cause for all technical issues and recommend solutions. Analyze all applications and recommend necessary upgrades and patches and perform troubleshoot on all issues. Maintain effective relationships with various system administrators and development teams. Participate in periodic meetings and maintain all applications for productions and plan appropriate various strategies. Publishing GCP cost Dashboards, Alerting and monitoring Requirements To be successful in this role, you should meet the following requirements: Knowledge of Incident Management & Problem Management is mandatory. Production support ticketing knowledge is an advantage (Remedy, Jira, SQL Assistant, Blade logic, Splunk, MuleSoft, App Dynamics, GitHUB Knowledge/ Websphere etc. ) Excellent communication skills in both Oral and Written communication. Excellent understanding of machine learning setup in Google architecture and google Analytics products Should have experience working in agile and devops environment using team collaboration tools such as Confluence, JIRA. Programming skills and hands-on experience in Python desirable Proficiency in working with cloud based native data stores/databases Knowledge on design patterns for GCP third party tools setup and native tools usage Experience in publishing GCP cost Dashboards, Alerting and monitoring

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Description Empower India Data Science team is looking for a Sr. Analyst who is capable of producing in-depth analysis that suggests strategic and operational changes. The ideal candidate will understand the business problem, collect and study relevant data and able to produce meaningful and actionable insights that helps to solve the business problem in hand. Role Responsibilities: Understand the complex business problem, able to convert it as an analytical problem. Understand the data need, collect, interpret and clean the data for analysis Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context Handle the project end-to-end independently Able to present the analysis and results to the senior stakeholders Generate BI reports and able to automate them Work with management to prioritize business and information needs Educational Qualification: Graduate / Post-graduate degree in Business Management / Statistics / Economics / Finance Required Experience: 2-6 years of experience working in analytics, data science or related experience Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc. Working experience with tools such as Google Analytics/ Adobe Analytics Handling end-to-end projects independently Required skills and competencies: Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI. Strong analytical skills to be able to understand the business problem, collect and analyze the data and able to interpret the results Co-ordinate with different teams to be able to gather required information Strong written and verbal communication skill and be able to present the results to the senior stakeholders Good understanding of US Retirement Industry Self-motivation, excellent accountability and ownership skills Excellent team player This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.

Responsibilities: Collaborating with Delivery, Infra and Product teams Create solutions for problems that cant be solved using current product offerings Interacting with Client Tech/Business teams. Understanding client workflows and replicating the same using Skits existing products where possible. Researching, diagnosing, troubleshooting and identifying solutions to resolve the client integration issues Taking ownership of API/Telephony integration issues reported and seeing problems through to resolution Understanding Tech issues involved in integration & providing resolution Automating operational tasks being done manually to increase efficiency Requirements Ability to debug systems/calls using Logs/Traces Ability to write code using Python Willingness to collaborate with other teams/other roles. Willingness to learn and experiment with new languages and technologies. Experience Professional experience of 0-2 years. Has experience with integrating or building HTTP APIs Has hands-on experience of working with Python Good communicator Preferred Requirements: Has experience working in any of Django Rest Framework, Redis, Celery Good understanding of various applied ML concepts and problems Has python programming experience on machine learning based projects Technical Understanding of Computer Science fundamentals, using them to effectively design and write code in python. Hands-on experience developing microservices/projects in Python is preferrable. Hands-on experience working with RDBMS like PostgreSQL. Experience working with container platforms like Docker, Kubernetes is a plus. Experience with AWS or any comparable cloud technology is a plus.

This is an Internal document. About Kotak Mahindra GroupEstablished in 1985, the Kotak Mahindra Group is one of India’s leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd (KMFL), the group’s flagship company, received a banking license from the Reserve Bank of India (RBI). With this, KMFL became the first non-banking finance company in India to become a bank – Kotak Mahindra Bank Limited. The consolidated balance sheet of Kotak Mahindra Group is over 1 lakh crore and the consolidated net worth of the Group stands at 13,943 crore (approx. US$2.6 billion) as on September 30, 2012. The Group offers a wide range of financial services that encompass every sphere of life. From commercial banking to stock broking, mutual funds, life insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The Group has a wide distribution network through branches and franchisees across India, the international offices in London, New York, California, Dubai, Abu Dhabi, Bahrain, Mauritius and Singapore. For information, please visit the company’s website at http://www.kotak.com What we offer Our mission is simple – Building trust. Our customers' trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That’s why we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best analytical and technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many. – Kotak Data LabsKotak Data Labs plays a pivotal role in driving innovation and business growth at Kotak. The team collaborates with stakeholders and data providers, leveraging advanced analytics and Data Science / Machine Learning techniques to drive strategic decision-making across the bank. The core work charter includes supporting different products across the bank by developing solutions across the customer journey to drive Acquisition, Engagement and Retention using cutting-edge Data Science capabilities and Data platforms. The Data Scientist and Data Analyst role within the team involves deploying projects from conception to actionable insights, enabling data-driven marketing strategies, developing risk scorecards, building behavioral models and impact in the banking business. This role focuses on leveraging Data science techniques for model development, feature engineering, driving automation, process improvement, and operational efficiency while demonstrating innovative thinking, passion for data science and fostering cross-team collaboration. Establishing strong working relationship with stakeholders in the bank is also a key aspect of this role. This is an Internal document. Roles and ResponsibilitiesDeliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building and validating predictive models, explaining model results & insights and deployment Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modelling to address business problems. Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytical capabilities, platforms, and pipelines. Present insights and recommendations to audiences of varying levels of technical sophistication Automate processes to ensure scalability of solutions by collaborating with crossfunctional teams Perform the data extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights Skill requirementsMaster’s or Bachelor’s Degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, etc.) Coding skills in Python, SQL Deep understanding and hands-on experience with ML/DL Algorithms Experience of working with large data sets and developing scalable solutions Knowledge of Marketing, Risk, Business, Banking and Financial services, E-Commerce is preferred Ability to work independently and deal with ambiguity Strong analytical and problem-solving skills Excellent presentation and strong written & verbal communication skills Knowledge of Banking products, Marketing strategies and Generative AI is a plus Highly motivated and collaborative team player with strong interpersonal skills

Great opportunity for freshers passionate about AI/ML and cybersecurity to work on real-world problems like traffic analysis, malware, and anomaly detection, supporting AI/ML models for NDR and Forensics solutions.

Job description Prepare curriculum and instruction for the Computer science department Plan and execute department events and activities. Mentor students in their academic achievement and future prospects. Deliver class room Lecture / Lab Sessions on Computer Science (CSE) Core Subjects such as Programming / DBMS / OS / Networks Arranging guest lectures & workshops for the students in the department. Formulating the most prestigious and well-balanced academic program that encourages research as well as addresses the industry's needs Articulating and promoting scholarly excellence culminating into meaningful products and services for the marketplace and society Improvising and adopting the best practices from the top universities and corporations in the world Providing leadership to earn recognition for the department, including participation in conferences, events, and competitions Establishing a strong internship and placement program within the department Other responsibilities include, but are not limited to fiscal planning, resource allocation, performance evaluations, cultivating a vibrant work culture, etc Eligibility M.Tech /MCA Published works would be advantageous. Strong analytical, observational, and problem-solving skills. Excellent research, writing, and interpersonal skills. A passion for teaching/training/research and engaging with students.

Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Job description Job Title: AI Decision Science Manager Strategy & Consulting Global Network Management Level: 07 - Manager Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management. Good-to-Have Skills: Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face. Job Summary :As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accenture's global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency. Roles & Responsibilities: Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights. Evaluate clients' AI and analytics maturity and develop data-driven solutions across various business domains. Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools. Provide technical guidance on statistical and machine learning techniques. Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting. Stay updated on the latest advancements in AI and integrate innovative approaches into solutions. Professional & Technical Skills: Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees). Familiarity with optimization methods, including linear and evolutionary techniques. Strong communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead client-facing roles and large project teams. Exceptional attention to detail and a proactive, problem-solving mindset. Additional Information: This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector. About Our Company Qualification Experience: 7-9 years of direct experience in Data Science and AI within the Consumer Goods & Services industry. Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.

Fi Money is a new age money management app designed to simplify your financial life. With Fi, you can save, pay, invest, or borrow, all in one place. You can track and analyze your expenses across Fi and all your other bank accounts. You can also apply for a credit card, access instant loans, and grow your wealth and more with our range of investment options. We’re looking for a Fraud / AML Analyst to join our Analytics team. In this role, you will help us monitor and analyze customer transactions and behaviors to detect and prevent fraud and financial crimes. You will work closely with teams across business, product and operations to strengthen fraud detection and AML controls. This role also includes building and deploying machine learning models to proactively detect risk patterns and suspicious activity. What You’ll Do: Monitor transactions and user behavior to detect suspicious activity Investigate fraud alerts, patterns, and anomalies using data Build and refine rule-based and ML-based models for fraud and AML detection Use statistical and machine learning techniques to predict and prevent financial crime Partner with product, tech, and operations teams to strengthen controls and automate workflows Prepare documentation for internal tracking and external compliance Continuously improve detection systems through data analysis and feedback loops Must-Have Skills: 1+ years of experience in fraud risk, AML analytics, or transaction monitoring Hands-on experience with SQL and Python — strong data querying and analysis skills Exposure to ML model development — from data preparation to evaluation and deployment Familiarity with fraud/AML use cases in fintech, banking, or payments Strong analytical and problem-solving skills, with attention to detail Ability to thrive in a fast-paced, cross-functional environment Familiarity with data visualization tools like Tableau This is a 5 days work from office role and we are in Brookfield, Bengaluru.

Role Value: This role plays a pivotal part in driving innovation through the development of advanced, ML-driven technologies. By aligning business goals with product strategy, the Product Owner helps shape high-impact solutions that bring measurable value to both internal stakeholders and end users. Key Responsibilities: Collaborate closely with Machine Learning and Engineering teams on advanced data extraction technologies (e.g., no-OCR, VLM-based extraction) Translate business needs into epics and user stories for development teams Align product goals with company strategy in coordination with Product Management Maintain a well-prioritized product backlog based on business value Work with stakeholders and data analysts to ensure data-driven product decisions Track product progress, performance, and deliverables across sprints Communicate effectively with globally distributed teams and stakeholders Stay updated with agile practices, ML/AI trends, and industry standards Required Experience & Qualifications: 3+ years as a Product Owner in an agile environment Familiarity with AI/ML patterns (e.g., VLM, LLMs) and experience working with ML-driven teams Technical aptitude with a fast-learning mindset Strong data orientation and analytical thinking Agile and/or SAFe framework knowledge Excellent attention to detail and communication skills Comfortable working in international, cross-functional environments Proficient in spoken and written English Nice to Have: Exposure to Regulatory Compliance Product Marketing experience Strong cross-cultural communication Advanced data analysis capabilities Knowledge of Biometric Security Standards Key Traits: Energetic, teachable, and eager to learn Follows SOPs with accuracy and discipline Collaborative and customer-focused Takes ownership with a proactive, problem-solving attitude Resilient and positive under pressure Role & responsibilities Preferred candidate profile

Roles and Responsibilities: As a, Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Engage with clients to understand current and future business goals and translate business problems into analytical frameworks Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs Create repeatable, interpretable and scalable models Effectively communicate the analytics approach and insights to a larger business audience Collaborate with team members, peers and leadership at Tredence and client companies Qualification: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 3+ years of experience in data science, building hands-on ML models Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. Advanced SQL skills with SQL Server and Spark experience. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred Experience with cloud platforms such as Azure, AWS is preferred but not required.

Job Description: AI Automation Developer: Design, develop, and deploy generative AI models Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing NLP techniques, Lang Chain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms for deploying AI applications. Preferred candidates would have experience with DU (Document Understanding) OR DA (Document Automation).

Role & responsibilities We are looking for MLOps/ML Engineer with Dataiku DSS platform with MNC company for permanent position, Remote. Preferred candidate profile We are seeking a skilled MLOps/ML Engineer to serve as our subject matter expert for Dataiku DSS. In this pivotal role, you will manage and scale our end-to-end machine learning operations, all of which are built on the Dataiku platform. Key responsibilities include designing automated data pipelines, deploying models as production APIs, ensuring the reliability of scheduled jobs, and championing platform best practices. Extensive, proven experience with Dataiku is mandatory. Data Pipeline Development: Design and implement Extract, Transform, Load (ETL) processes to collect, process, and analyze data from diverse sources. Workflow Optimization: Develop, configure, and optimize Dataiku DSS workflows to streamline data processing and machine learning operations. Integration: Integrate Dataiku DSS with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and big data technologies such as Snowflake, Hadoop, and Spark. AI/ML Model development & Implementation: Implement and optimize machine learning models within Dataiku for predictive analytics and AI-driven solutions. MLOps & Data Ops: Deployment of data pipelines and AI/ML models within the Dataiku platform. Dataiku Platform Management: Build, Manage & Support Dataiku platform. Automation: Automate data workflows, monitor job performance, and ensure scalable execution. Customization: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities. Dataiku Project Management: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities. Required Skills and Qualifications: Experience Level: 2 to 6 years of hands-on experience with Dataiku DSS platform and data engineering. Educational Background: Bachelors or Master’s degree in Computer Science, Data Science, Information Technology, or a related field. Technical Proficiency: Experience with Dataiku DSS platform. Strong programming skills in Python and SQL. Familiarity with cloud services (AWS, Azure, GCP) and big data technologies (Hadoop, Spark). Analytical Skills: Ability to analyze complex data sets and provide actionable insights. Problem-Solving: Strong troubleshooting skills to address and resolve issues in data workflows and models. Communication: Effective verbal and written communication skills to collaborate with team members and stakeholders.

BE/B.Tech or equivalent The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL data bases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. 7+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi- data -center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Required Skills Required Skills - Data Modeling, Dimensional modeling, Erwin, Data Management, RDBMS, SQL/NoSQL, ETL

Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies.

Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies.

Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies.

Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies.

Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies.

Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies.